UCR October 2016-December 2016 (FY 2017, Q1)
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A Snapshot of Year-to-Year Congestion Trends in the U.S. for October 2016 through December 2016.
Congested Hours
+4 minutes
Average duration of daily congestion
Travel Time Index
+1 points
Peak period vs. off-peak travel times
Planning Time Index
-7 points
Unreliability (variability) of travel
Performance measures have been updated using the most recently available (2013) national volumes.
City (MSA) | Congested Hours * | Travel Time Index * | Planning Time Index * | % Complete Data | |||
---|---|---|---|---|---|---|---|
2016 | Change from 2015 | 2016 | Change from 2015 | 2016 | Change from 2015 | ||
Atlanta, GA | 4:50 | +0:10 | 1.32 | +2 | 2.40 | -12 | 95% |
Austin, TX | 5:17 | +0:06 | 1.42 | +4 | 2.85 | -6 | 97% |
Baltimore, MD | 5:57 | -0:24 | 1.27 | -1 | 2.37 | -16 | 94% |
Birmingham, AL | 0:33 | -0:10 | 1.04 | -1 | 1.27 | -8 | 95% |
Boston, MA | 6:25 | +0:11 | 1.38 | +2 | 2.79 | -12 | 91% |
Buffalo, NY | 6:10 | +0:06 | 1.17 | 0 | 1.97 | -2 | 80% |
Charlotte, NC | 4:08 | +0:05 | 1.24 | +2 | 2.32 | +11 | 98% |
Chicago, IL | 7:47 | -0:05 | 1.38 | 0 | 2.40 | -13 | 95% |
Cincinnati, OH | 3:08 | +0:01 | 1.17 | +1 | 1.95 | -4 | 97% |
Cleveland, OH | 2:54 | +0:28 | 1.12 | -1 | 1.93 | +6 | 94% |
Columbus, OH | 3:04 | +0:11 | 1.15 | +1 | 1.90 | -5 | 93% |
Dallas-Fort Worth, TX | 6:32 | +0:23 | 1.38 | +5 | 3.08 | +12 | 96% |
Denver, CO | 7:02 | -0:49 | 1.35 | 0 | 2.81 | -23 | 90% |
Detroit, MI | 4:25 | +0:13 | 1.21 | +1 | 2.28 | -12 | 92% |
Hartford, CT | 2:54 | -0:15 | 1.16 | 0 | 1.90 | -11 | 92% |
Houston, TX | 5:35 | -0:05 | 1.35 | -2 | 2.71 | -32 | 96% |
Indianapolis, IN | 3:01 | -0:29 | 1.12 | 0 | 1.58 | -1 | 93% |
Jacksonville, FL | 3:54 | +0:17 | 1.19 | +3 | 2.27 | +16 | 95% |
Kansas City, MO | 3:07 | -0:12 | 1.13 | +1 | 1.85 | -5 | 93% |
Las Vegas, NV | 4:20 | +0:42 | 1.22 | +1 | 2.10 | +3 | 95% |
Los Angeles, CA | 9:35 | +0:16 | 1.67 | 0 | 3.56 | -21 | 95% |
Louisville, KY | 2:30 | -0:54 | 1.12 | -4 | 1.81 | -32 | 94% |
Memphis, TN | 3:50 | -0:20 | 1.18 | +1 | 1.93 | -3 | 94% |
Miami, FL | 6:07 | +0:15 | 1.34 | +1 | 2.69 | -18 | 95% |
Milwaukee, WI | 4:00 | -0:15 | 1.20 | 0 | 2.07 | -12 | 93% |
Minn.-St. Paul, MN | 6:14 | +0:37 | 1.29 | +2 | 2.40 | +4 | 87% |
Nashville, TN | 2:55 | -0:16 | 1.17 | -1 | 2.01 | -7 | 92% |
New Orleans, LA | 4:27 | +0:02 | 1.22 | +1 | 2.49 | -6 | 91% |
New York, NY | 9:33 | +0:25 | 1.38 | +1 | 2.66 | -7 | 88% |
Oklahoma City, OK | 2:22 | -0:19 | 1.12 | 0 | 1.74 | -8 | 96% |
Orlando, FL | 4:12 | +0:09 | 1.20 | +2 | 2.02 | +1 | 97% |
Philadelphia, PA | 5:53 | +0:19 | 1.23 | +1 | 2.10 | -7 | 90% |
Phoenix, AZ | 3:39 | +0:09 | 1.26 | +1 | 2.49 | -1 | 92% |
Pittsburgh, PA | 4:46 | +0:25 | 1.16 | +1 | 2.03 | +6 | 89% |
Portland, OR | 9:38 | +0:41 | 1.56 | +3 | 3.71 | +17 | 90% |
Providence, RI | 5:08 | +0:08 | 1.18 | 0 | 2.05 | -1 | 87% |
Raleigh, NC | 2:37 | 0:00 | 1.17 | +3 | 2.07 | +7 | 97% |
Richmond, VA | 2:08 | -0:20 | 1.07 | 0 | 1.50 | -5 | 91% |
Riverside-San Bern., CA | 5:40 | -0:05 | 1.28 | +1 | 2.08 | -2 | 99% |
Rochester, NY | 4:05 | +0:47 | 1.12 | +1 | 1.82 | +12 | 87% |
Sacramento, CA | 4:43 | -0:10 | 1.29 | +2 | 2.32 | -6 | 98% |
Salt Lake City, UT | 3:49 | 0:00 | 1.17 | 0 | 2.07 | +6 | 96% |
San Antonio, TX | 3:45 | +0:09 | 1.22 | +2 | 2.15 | -7 | 97% |
San Diego, CA | 4:29 | -0:08 | 1.29 | 0 | 2.60 | -7 | 94% |
San Francisco, CA | 8:05 | +0:13 | 1.54 | +1 | 3.40 | -4 | 95% |
San Jose, CA | 6:00 | +0:04 | 1.48 | +1 | 3.34 | -11 | 95% |
San Juan, PR | 4:46 | +1:04 | 1.61 | +10 | 3.62 | +99 | 51% |
Seattle, WA | 8:45 | -0:03 | 1.44 | +1 | 2.91 | -9 | 87% |
St. Louis, MO | 3:26 | -0:11 | 1.15 | -1 | 2.22 | -2 | 96% |
Tampa, FL | 2:51 | +0:01 | 1.20 | +1 | 2.15 | 0 | 96% |
Virginia Beach, VA | 5:48 | +0:11 | 1.21 | 0 | 2.43 | -7 | 90% |
Washington, DC | 7:45 | +0:15 | 1.48 | +4 | 3.08 | +1 | 93% |
Notes:
Blue bolded values (with – sign) indicate improving conditions; red italics (with + sign) indicate worsening conditions.
Comparison of 2016 to 2015 is for the same three-month period (October - December).
% Complete Data compares the reported congestion data for that MSA to what should have been available for the designated roads and time periods.
*Performance measures have been updated using the most recently available (2013) national volumes.
For More Information
Please contact Rich Taylor at rich.taylor@dot.gov.